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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | Miller | goose | dsh-task-board |
|---|---|---|---|
| Platforms | Universal, MCP, Claude Code, Codex, Cursor | Universal, MCP | DeepSeek Harness |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | BSD-2-Clause | Apache-2.0 | Apache-2.0 |
| Stars | 10049 | 55588 | 9384 |
| Last activity | October 21, 2026 | October 23, 2026 | — |
| Install complexity | EASY | MEDIUM | Intermediate |
| Category | Workflow, Data | Code Review, Multi-Agent, Workflow | Multi-Agent, Workflow |
| Best use | Ideal for developers, data analysts, and operators who need to clean a CSV export, inspect JSON Lines, or summarize a large file from the terminal without starting a Python project. Use it for quick, repeatable file processing; concurrent transactions and advanced visual analysis still call for a database or complementary analytics tool. | Best for an individual developer or small team that wants an AI agent to complete an inspectable task in a working copy: understand files, make a bounded change, and run a test. Start with manual approval and scope the folder and tools. Do not give it broad access to production or sensitive data. | Best for a developer or small team using DSH for recurring or connected work and wanting task state and execution evidence in one record. It pins the project, agent preset, and permission, then runs manually or through Host cron with a human gate for elevated access. It is not a fit for a frequently sleeping machine or unreviewed sensitive automation. |